Publications citing Classification of Heart Sound Recordings: The PhysioNet/Computing in Cardiology Challenge 2016 v1.0.0

An AI-Powered Tool for Automatic Heart Sound Quality Assessment and Segmentation
Valentina Roquemen-Echeverri, Peter G. Jacobs, Stephen B. Heitner et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021. Cites: paper

Contrastive learning of heart and lung sounds for label-efficient diagnosis
Pratham N. Soni, Siyu Shi, Pranav R. Sriram et al. Patterns, 2021. Cites: paper

Combining Deep Learning with Traditional Machine Learning to Improve Phonocardiography Classification Accuracy
M. Chowdhury, Chongchong Li, Khem Narayan Poudel. IEEE Signal Processing in Medicine and Biology Symposium, 2021. Cites: paper

Integrated Res2Net combined with Seesaw loss for Long-Tailed PCG signal classification
Guangyang Tian, Cheng Lian, Zhigang Zeng. International Conference on Intelligent Control and Information Processing, 2021. Cites: paper

A novel 1-D densely connected feature selection convolutional neural network for heart sounds classification
Xin Zhou, Xuying Wang, Xianhong Li et al. Annals of Translational Medicine, 2021. Cites: paper

Heart Sound Analysis for Abnormality Detection
Zainab Arshad, Sohail Masood Bhatti, Huma Tauseef et al. Intelligent Automation & Soft Computing, 2021. Cites: paper

Heart sound classification using signal processing and machine learning algorithms
Yasser Zeinali, Seyed Taghi Akhavan Niaki. Machine Learning with Applications, 2021. Cites: paper

Automatic segmentation for neonatal phonocardiogram
Sergi Gomez-Quintana, Ihor Shelevytsky, Victoriya Shelevytska et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021. Cites: paper

Can Heart Sound Denoising be Beneficial in Phonocardiogram Classification Tasksƒ
Melkamu Hunegnaw Asmare, Frehiwot Woldehanna, Luc Janssens et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021. Cites: paper

Classification of real-world pathological phonocardiograms through multi-instance learning
Andrea Duggento, Allegra Conti, Maria Guerrisi et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021. Cites: paper

Do we really need a segmentation step in heart sound classification algorithms?
Jorge Oliveira, Diogo Marcelo Nogueira, Francesco Renna et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021. Cites: paper

Robust optimization of convolutional neural networks with a uniform experiment design method: a case of phonocardiogram testing in patients with heart diseases
Wen‐Hsien Ho, Tian-Hsiang Huang, Po-Yuan Yang et al. BMC Bioinformatics, 2021. Cites: paper

Transferring Cross-Corpus Knowledge: An Investigation on Data Augmentation for Heart Sound Classification
Tomoya Koike, Kun Qian, Bjorn W. Schuller et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021. Cites: paper

Unsegmented Heart Sound Classification Using Hybrid CNN-LSTM Neural Networks
Drishti Ramesh Megalmani, B G Shailesh, Achuth Rao M V et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021. Cites: paper

Unsupervised Heart Sound Decomposition and State Estimation with Generative Oscillation Models
Ryohei Shibue, Masahiro Nakano, Tomoharu Iwata et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021. Cites: paper

Automated Assessment of the Quality of Phonocardographic Recordings through Signal-to-Noise Ratio for Home Monitoring Applications
Noemi Giordano, Samanta Rosati, Marco Knaflitz. Sensors, 2021. Cites: paper

Machine Learning and IoT Applied to Cardiovascular Diseases Identification through Heart Sounds: A Literature Review
Ivo Sérgio Guimarães Brites, Lídia Martins da Silva, Jorge Luís Victória Barbosa et al. Informatics, 2021. Cites: paper

A novel multi-branch architecture for state of the art robust detection of pathological phonocardiograms
Andrea Duggento, Allegra Conti, Maria Guerrisi et al. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 2021. Cites: paper

[Heart sound classification based on sub-band envelope and convolution neural network].
Xingzhi Wang, Hongbo Yang, Rong Zong et al. PubMed Central, 2021. Cites: paper

Machine Learning and IoT Applied to Cardiovascular Diseases Identification through Heart Sounds: A Literature Review
Ivo Sérgio Guimarães Brites, Lídia Martins da Silva, Jorge Luís Victória Barbosa et al. Preprints.org, 2021. Cites: paper

A NOVEL DEEP LEARNING NEURAL NETWORK SYSTEM FOR IMBALANCED HEART SOUNDS CLASSIFICATION
Wei Chen, Qiang Sun, Gangcai Xie et al. Journal of Mechanics in Medicine and Biology, 2021. Cites: paper

Rheumatic Heart Disease Screening Based on Phonocardiogram
Melkamu Hunegnaw Asmare, Benjamin Filtjens, Frehiwot Woldehanna et al. Sensors, 2021. Cites: paper

AI-Based Heart Monitoring System
Udaya Dampage, Charuth Balasuriya, Supun Thilakarathna et al. IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT), 2021. Cites: paper

Hemodynamics-driven mathematical model of first and second heart sound generation
Mehrdad Shahmohammadi, Hongxing Luo, Philip Westphal et al. PLoS Computational Biology, 2021. Cites: paper

Classification of heart sounds based on quality assessment and wavelet scattering transform
Na Mei, Hongxia Wang, Yatao Zhang et al. Computers in Biology and Medicine, 2021. Cites: paper

Multi-modal cardiac function signals classification algorithm based on improved D-S evidence theory
Jinghui Li, Li Ke, Qiang Du et al. Biomedical Signal Processing and Control, 2021. Cites: paper

Wavelet Packet Descriptors for Physiological Signal Classification
S. Jayalakshmy, B. Lakshmipriya, C. Vinothini et al. IEEE Madras Section Conference (MASCON), 2021. Cites: paper

Deep learning based classification of unsegmented phonocardiogram spectrograms leveraging transfer learning
Kaleem Nawaz Khan, Faiq Ahmad Khan, Anam Abid et al. Physiological Measurement, 2021. Cites: paper

FPGA-Based High-Performance Phonocardiography System for Extraction of Cardiac Sound Components Using Inverse Delayed Neuron Model
Madhubabu Anumukonda, Prasadraju Lakkamraju, Shubhajit Roy Chowdhury. Frontiers in Medical Technology, 2021. Cites: paper

Unsupervised Phonocardiogram Analysis With Distribution Density Based Variational Auto-Encoders
Shengchen Li, Ke Tian. Frontiers in Medicine, 2021. Cites: paper

An Optimal Approach for Heart Sound Classification Using Artificial Neural Network
Yunendah Nur Fuadah, Ki Moo Lim. Research Square, 2021. Cites: paper

Classification of Multi-Class Cardiovascular Disorders using Ensemble Classifier and Impulsive Domain Analysis
Misha Urooj Khan, Syeda Zuriat-e-Zehra Ali, Arslan Ishtiaq et al. Mohammad Ali Jinnah University International Conference on Computing (MAJICC), 2021. Cites: paper

SmartScope: An AI-Powered Digital Auscultation Device To Detect Cardiopulmonary Diseases
Aadhav Prabu. 2021. Cites: paper

Flexible Multiscale Pore Hybrid Self-Powered Sensor for Heart Sound Detection
Boyan Liu, Liuyang Han, Lyuming Pan et al. Sensors, 2021. Cites: paper

Arrhythmia Detection using Electrocardiogram and Phonocardiogram Pattern using Integrated Signal Processing Algorithms with the Aid of Convolutional Neural Networks
Jessie R. Balbin, Aldwin Ian T. Yap, Benedict D. Calicdan et al. IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), 2021. Cites: paper

Deterministic Compressed Sensing of heart sound signals
Pasquale Daponte, Luca De Vito, Grazia Iadarola et al. IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021. Cites: paper

Non-contact Blood Pressure Estimation Using a 300 GHz Continuous Wave Radar and Machine Learning Models
Marie Jung, Michael Caris, Stephan Stanko. IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021. Cites: paper

An ensemble solution for multivariate time series clustering
Iago Vázquez, Jose Ramon Villar, Javier Sedano et al. Neurocomputing, 2021. Cites: paper

Heart Sound Classification Considering Additive Noise and Convolutional Distortion
Farhat Binte Azam, Md. Istiaq Ansari, Ian Mitra McLane et al. arXiv (Cornell University), 2021. Cites: paper

Deep Learning Methods for Heart Sounds Classification: A Systematic Review
Wei Chen, Qiang Sun, Xiaomin Chen et al. Entropy, 2021. Cites: paper

Detection of Coronary Artery Disease Using Multi-Domain Feature Fusion of Multi-Channel Heart Sound Signals
Tongtong Liu, Peng Li, Yuanyuan Liu et al. Entropy, 2021. Cites: paper

Classification of normal/abnormal PCG recordings using a time–frequency approach
Hanie Hazeri, Pega Zarjam, Ghasem Azemi. Analog Integrated Circuits and Signal Processing, 2021. Cites: paper

A Deep Convolutional Neural Network Classification of Heart Sounds using Fractional Fourier Transform
Ebrahim Ameen Nehary, Zaid Abduh, Sreeraman Rajan. IEEE International Instrumentation and Measurement Technology Conference, 2021. Cites: paper

Abnormal heart sound classification using phonocardiography signals
M. G. Manisha Milani, Pg Emeroylariffion Abas, Liyanage C. De Silva et al. Smart Health, 2021. Cites: paper

Unsupervised Heart Abnormality Detection Based on Phonocardiogram Analysis with Beta Variational Auto-Encoders
Shengchen Li, Ke Tian, Rui Wang. IEEE International Conference on Acoustics Speech and Signal Processing, 2021. Cites: paper

MACHINE-ASSISTED DIAGNOSIS OF CHD BASED ON VARIANT LOGIC THEORY AND MACHINE LEARNING MODELS
Ruping Yao, Jiahua Pan, Jing Sun et al. Biomedical Engineering Applications Basis and Communications, 2021. Cites: paper

Heart sounds classification using convolutional neural network with 1D-local binary pattern and 1D-local ternary pattern features
Mehmet Bilal Er. Applied Acoustics, 2021. Cites: paper

A FUSION FRAMEWORK BASED ON CEPSTRAL DOMAIN FEATURES FROM PHONOCARDIOGRAM TO PREDICT HEART HEALTH STATUS
Shruti Arora, Sushma Jain, Inderveer Chana. Journal of Mechanics in Medicine and Biology, 2021. Cites: paper

Abnormal Respiratory Sound Classification Using Hierarchical Attention Networks Model
Keewon Jeong, Seoung Bum Kim. Journal of Korean Institute of Industrial Engineers, 2021. Cites: paper

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